Oil leakage detection method and device for electric oil charging equipment
By using ultraviolet lasers and color sensors in the oil leakage detection system of indoor power oil charging equipment, combined with image sensors, the problem of difficult to detect early oil leakage in indoor dark scenes is solved, and high-sensitivity oil leakage detection and timely alarms are achieved.
Patent Information
- Application Number
- CN202411787769.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-06
- Publication Date
- 2025-03-25
AI Technical Summary
Indoor power oil charging equipment is difficult to detect early oil leakage in dark scenes, resulting in difficulty in operation and maintenance work.
The oil leakage detection system is used to combine ultraviolet lasers and color sensors. The color sensor senses the proportion of blue light after irradiation of the ultraviolet laser. Combined with the image information obtained by the image sensor, the oil leakage area is determined and rendered into a conspicuous area.
It realizes the early oil leakage of power oil charging equipment in time in indoor dark scenes, improving the accuracy of oil leakage detection and timely alarm.
Smart Images

Figure CN119688204A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the technical field of oil leakage detection, and in particular to an oil leakage detection method and device for electric oil filling equipment. Background Art
[0002] Power oil-filled equipment (such as transformers) is a key power equipment. Once a failure occurs, it will cause huge losses. Therefore, ensuring the safety and reliability of power oil-filled equipment such as transformers is of great significance to ensure the safe and stable operation of the power grid. However, with the increase in operating years, due to the influence of various factors such as ambient temperature, humidity, electric field, magnetic field, etc., oil leakage of power oil-filled equipment such as transformers occasionally occurs. If it is not discovered and eliminated in time, the consequences will be disastrous. In severe cases, it may even cause explosions and other power grid unsafe incidents that endanger people and equipment.
[0003] For outdoor equipment, grey pebbles are usually placed on the substation. Once an oil leak occurs, the pebbles will be soaked and the images can be quickly transmitted to the operation and maintenance personnel through on-site monitoring and other means.
[0004] However, for indoor equipment, since it is basically in a dark environment all year round, it is difficult to detect oil leakage and other problems through video surveillance images, which adds great difficulties to operation and maintenance work. In view of the fact that transformer oil has fluorescence properties due to the presence of unsaturated aromatic hydrocarbons and non-hydrocarbon compounds, many scholars have proposed transformer oil leakage detection methods based on fluorescence characteristics. This method requires manual on-site inspections with flashlights, which is time-consuming and laborious, or by installing video surveillance, collecting oil leakage pictures and feeding them back to operation and maintenance personnel for supervision. However, since the fluorescence characteristics of transformer oil turn blue when encountering purple, when the amount of oil leakage is very small, the contrast of blue in the pictures taken by the surveillance camera is very low and is not easy to be identified. Therefore, there is currently a risk that oil leakage is not easy to be discovered in the early stage in dark indoor scenes. It is urgent to develop a high-sensitivity detection method that can quickly detect early oil leakage of indoor power oil-filled equipment. Summary of the invention
[0005] The embodiments of the present invention provide a method and device for detecting oil leakage of an electric oil filling device, so as to solve the problem that the electric oil filling device is not easy to detect in the early stage of oil leakage in a dark indoor scene.
[0006] In a first aspect, an embodiment of the present invention provides an oil leakage detection method for an electric oil-filling device, the method being applied to an oil leakage detection system, the oil leakage detection system comprising an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal, the detection method comprising:
[0007] Acquire color information of the detection area sensed by the color sensor when the ultraviolet laser is irradiated, and obtain the proportion of blue light based on the color information;
[0008] If the blue light ratio is greater than the first threshold, a first oil leakage alarm is output;
[0009] Acquire an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated;
[0010] Taking the increase of the blue light ratio relative to the first threshold as the screening threshold, determining the oil leakage area in the detection area image;
[0011] Render the oil spill area as a striking area and output the rendered detection area image.
[0012] In one implementation, the oil leakage detection system further includes a second image sensor; and the detection method further includes:
[0013] Acquire a dial image of the oil level indicator of the electric oil filling equipment sensed by the second image sensor;
[0014] Obtain the periodic decrease of the digital oil level according to the dial image;
[0015] If the periodic decrease in the digital oil level is greater than a second threshold, a second oil leakage alarm is output.
[0016] In one implementation, the detection method further includes: if the proportion of blue light is greater than a first threshold, and the periodic decrease in the digital oil level is greater than a second threshold, outputting a third oil leakage alarm.
[0017] In one implementation, the detection method further includes: if the proportion of blue light is greater than a first threshold, and the periodic decrease in the digital oil level is not greater than a second threshold, outputting a sensor fault alarm.
[0018] In one implementation, the detection method further includes: if the proportion of blue light is not greater than a first threshold, and the periodic decrease in the digital oil level is greater than a second threshold, outputting a sensor fault alarm.
[0019] In one implementation, the detection area image is an RGB image, and the increase in the blue light ratio relative to the first threshold is used as the screening threshold to determine the oil leakage area in the detection area image, including:
[0020] Sort the pixels in the detection area image based on the B channel value;
[0021] Taking the increase of the blue light ratio relative to the first threshold as the screening threshold, the pixel points with a larger B channel value before the screening threshold are determined as blue pixels;
[0022] The area corresponding to the blue pixels is determined as the oil leakage area.
[0023] In one implementation, rendering the oil leakage area as a striking area includes: converting the color of pixels in the oil leakage area into bright red.
[0024] In one implementation, obtaining the periodic reduction amount of the digital oil level according to the dial image includes:
[0025] Get the pointer axis position in the dial image;
[0026] Get the pointer midline point in the direction pointed by the pointer in the dial image;
[0027] Calculate the angle between the line connecting the pointer axis point and the pointer midline point and the zero line;
[0028] Compare the current angle with the angle of the previous cycle to obtain the periodic decrease of the angle;
[0029] The periodic reduction amount of the digital oil level is obtained according to the periodic reduction amount of the angle, the initial oil level digital value, the initial angle and the first formula, wherein the first formula includes:
[0030] ΔV=V / θ*r
[0031] Among them, ΔV represents the periodic decrease of the digital oil level, r represents the periodic decrease of the angle, V represents the initial oil level digital quantity, which is the digital quantity of the oil level indicated by the pointer in the initial state after the electrical oil-filled equipment is filled with oil and put into use, and θ represents the initial angle, which is the initial angle between the line connecting the pointer axis position point and the pointer center point and the zero position line in the initial state after the electrical oil-filled equipment is filled with oil and put into use.
[0032] In one implementation, the detection method further includes:
[0033] The length of time the obtained electric oil-filled equipment has been in use;
[0034] Determine the UV laser irradiation interval according to the length of time the electric oil-filling equipment has been put into use;
[0035] Among them, the length of time that the electric oil-filling equipment is put into use is negatively correlated with the irradiation interval.
[0036] In a second aspect, an embodiment of the present invention provides an oil leakage detection device for an electric oil filling device, which is applied to an oil leakage detection system. The oil leakage detection system includes an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal. The detection device includes:
[0037] A first acquisition unit is used to acquire color information of a detection area sensed by a color sensor when irradiated by an ultraviolet laser, and obtain a blue light ratio based on the color information;
[0038] an alarm unit, configured to output a first oil leakage alarm if the proportion of blue light is greater than a first threshold;
[0039] A second acquisition unit, used to acquire an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated;
[0040] An area detection unit, used to determine the oil leakage area in the detection area image by taking the increase of the blue light proportion relative to the first threshold as a screening threshold;
[0041] The image output unit is used to render the oil leak area as a striking area and output the rendered detection area image.
[0042] In one implementation, the detection device further includes:
[0043] A third acquisition unit is used to acquire a dial image of the oil level indicator of the electric oil filling equipment sensed by the second image sensor;
[0044] A digital conversion unit, used for obtaining a periodic decrease of a digital oil level according to a dial image;
[0045] The alarm unit is also used to output a second oil leakage alarm if the periodic decrease in the digital oil level is greater than a second threshold value.
[0046] In one implementation, the alarm unit is further configured to output a third oil leakage alarm if the proportion of blue light is greater than a first threshold and the periodic decrease in the digital oil level is greater than a second threshold.
[0047] In one implementation, the alarm unit is further configured to output a sensor fault alarm if the proportion of blue light is greater than a first threshold and the periodic decrease in the digital oil level is not greater than a second threshold.
[0048] In one implementation, the alarm unit is further configured to output a sensor fault alarm if the blue light ratio is not greater than a first threshold and the periodic decrease in the digital oil level is greater than a second threshold.
[0049] In one implementation, the detection area image is an RGB image, and the above-mentioned area detection unit is specifically used to sort the pixels in the detection area image based on the B channel value; take the increase in the blue light proportion relative to the first threshold as the screening threshold, and determine the pixel points of the front screening threshold with a larger B channel value as blue pixel points; determine the area corresponding to the blue pixel point as the oil leakage area.
[0050] In one implementation, the image output unit is specifically configured to convert the color of pixels in the oil leakage area into bright red.
[0051] In one implementation, the digital conversion unit is specifically used for:
[0052] Get the pointer axis position in the dial image;
[0053] Get the pointer midline point in the direction pointed by the pointer in the dial image;
[0054] Calculate the angle between the line connecting the pointer axis point and the pointer midline point and the zero line;
[0055] Compare the current angle with the angle of the previous cycle to obtain the periodic decrease of the angle;
[0056] The periodic reduction amount of the digital oil level is obtained according to the periodic reduction amount of the angle, the initial oil level digital value, the initial angle and the first formula, wherein the first formula includes:
[0057] ΔV=V / θ*r
[0058] Among them, ΔV represents the periodic decrease of the digital oil level, r represents the periodic decrease of the angle, V represents the initial oil level digital quantity, which is the digital quantity of the oil level indicated by the pointer in the initial state after the electrical oil-filled equipment is filled with oil and put into use, and θ represents the initial angle, which is the initial angle between the line connecting the pointer axis position point and the pointer center point and the zero position line in the initial state after the electrical oil-filled equipment is filled with oil and put into use.
[0059] In one implementation, the detection device further includes:
[0060] A fourth acquisition unit, used for acquiring the length of time the electric oil filling equipment is put into use;
[0061] A cycle determination unit, used to determine the irradiation interval of the ultraviolet laser according to the length of time the electric oil-filling equipment is put into use;
[0062] Among them, the length of time that the electric oil-filling equipment is put into use is negatively correlated with the irradiation interval.
[0063] The beneficial effects of the present invention compared to the prior art are as follows: the present invention sets a color sensor to sense the color information of the monitoring area when the ultraviolet laser is irradiated. Since the color sensor has a higher detection accuracy for color than the image sensor, it can effectively distinguish subtle color differences. When oil leakage occurs, the leaked oil emits a weak blue light under ultraviolet light, which is sensed by the color sensor, so that the proportion of blue light in the sensed color information increases. Therefore, when the proportion of blue light is greater than the first threshold, the first oil leakage alarm is output, and it is considered that an oil leakage may have occurred. In addition, a screening threshold can be determined based on the proportion of blue light, and the pixels on the image of the detection area sensed by the image sensor are screened according to the corresponding screening threshold, and the blue pixel points on the image are accurately determined, and the corresponding area is identified as the oil leakage area and rendered as a striking area for output, so as to facilitate identification and verification by monitoring personnel. It can be seen that the present invention can timely detect early oil leakage of electric oil filling equipment in dark scenes indoors, improve the accuracy of oil leakage detection and the timeliness of oil leakage alarm. BRIEF DESCRIPTION OF THE DRAWINGS
[0064] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.
[0065] Figure 1 : is an application scenario diagram of the oil leakage detection method for electric oil filling equipment provided by an embodiment of the present invention;
[0066] Figure 2 It is a flow chart of an implementation of the oil leakage detection method of the electric oil filling equipment provided by the embodiment of the present invention;
[0067] Figure 3 is another implementation flow chart of the oil leakage detection method for electric oil filling equipment provided by an embodiment of the present invention;
[0068] Figure 4 It is a structural schematic diagram of an oil leakage detection device for electric oil filling equipment provided in an embodiment of the present invention. DETAILED DESCRIPTION
[0069] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.
[0070] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.
[0071] Figure 1 This is an application scenario diagram of the oil leakage detection method for electric oil filling equipment provided by an embodiment of the present invention. Figure 1 As shown, the oil leakage detection system includes an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal. The ultraviolet laser periodically emits ultraviolet laser to illuminate the detection area below the electric oil filling device. If the electric oil filling device leaks oil, it will leak on the detection area. When the ultraviolet laser is irradiated, it will show blue light. When the leakage just starts, the amount of leaked oil is small and it shows weak blue light. The monitoring image taken by ordinary image sensors (such as general monitoring cameras) is difficult to distinguish the blue area (oil leakage area) in the image due to the low contrast problem in dark scenes, which makes it difficult to detect oil leakage in the early stage.
[0072] The present invention arranges a color sensor next to the image sensor. Since the color sensor has higher color detection accuracy than the image sensor and can effectively distinguish subtle color differences, it can identify the early stage of oil leakage. The weak blue light emitted by the detection area under ultraviolet laser irradiation can realize the alarm of early oil leakage.
[0073] In addition, since the color sensor is mainly used to identify color information and cannot directly generate a scene image of the target area, it is necessary to correct the detection area image sensed by the image sensor based on the color information so that the oil leakage area can be prominently presented on the image. After the color sensor identifies the early oil leakage, a screening threshold can be determined based on the proportion of blue in the color information identified by the color sensor, and the detection area image taken by the image sensor can be screened for blue pixels.
[0074] The reason why the blue area cannot be accurately identified due to low contrast in dark scenes is that there is no accurate screening threshold to define blue and non-blue. The present invention uses the increase in the proportion of blue in the color information recognized by the color sensor relative to the first threshold as the screening threshold, so that the blue pixel area in the detection area image taken by the image sensor can be accurately defined, and then it is used as the oil leakage area and marked with a striking color to output the oil leakage detection image, so that the monitoring personnel can verify the actual situation through the oil leakage detection image after receiving the oil leakage alarm.
[0075] The following specifically describes the oil leakage detection method based on the above oil leakage detection system:
[0076] Figure 2 The flowchart of the oil leakage detection method for the electric oil filling equipment provided by the embodiment of the present invention is as follows: Figure 2 As shown, the details are as follows:
[0077] In step 201, color information of a detection area sensed by a color sensor when irradiated by an ultraviolet laser is obtained, and a blue light ratio is obtained based on the color information.
[0078] In the embodiment of the present invention, the ultraviolet laser periodically irradiates the detection area, for example, once every 4 hours, or once every 8 hours, which saves energy consumption compared to the long-term ultraviolet irradiation method in the related art. In addition, the use of ultraviolet laser to irradiate ultraviolet rays can improve the fluorescence effect of the oil after being irradiated compared to conventional ultraviolet lamps.
[0079] The color sensor can obtain the color information of the detection area when the ultraviolet laser is irradiated. For example, the color sensor can be an RGB color sensor, which can detect the information of the three primary colors of RGB, thereby obtaining the proportion of blue light. The color sensor can also be a sensor based on wavelength detection, and the color information detected by it can include the intensity of light of different wavelengths. For example, the wavelength range of 620 nanometers to 750 nanometers is red light, the wavelength range of 495 nanometers to 570 nanometers is green light, and the wavelength range of 450 nanometers to 495 nanometers is blue light.
[0080] Color sensors are usually used to identify the color of a target. For example, if the intensity of light in the wavelength range of 450 nanometers to 495 nanometers is the greatest, the target can be considered to be blue.
[0081] In this embodiment, the proportion of blue light can be calculated based on the intensity of each type of light recognized by the color sensor. For example, assuming that the color information recognized by the color sensor is: the red light intensity is 9 units, the green light intensity is 9 units, and the blue light intensity is 12 units, then the proportion of blue light is 40%. Therefore, the color sensor can accurately recognize the slight difference in color.
[0082] In step 202, if the blue light ratio is greater than a first threshold, a first oil leakage alarm is output;
[0083] In an embodiment of the present invention, the first threshold is determined based on the proportion of blue light in the color information of the target area sensed by the color sensor when the ultraviolet laser is irradiated in a scene without oil leakage. For example, when the ultraviolet laser is irradiated in a scene without oil leakage, the color information of the target area sensed by the color sensor is that the red light intensity is 3 units, the green light intensity is 3 units, and the blue light intensity is 3 units, then the proportion of blue light is 33.3%. The first threshold can be set to 33.3%, or slightly larger than 33.3%, such as 34%.
[0084] It can be seen that when the proportion of blue light is not greater than the first threshold, it means that there is no blue fluorescence in the detection area and no oil leakage has occurred; when the proportion of blue light is greater than the first threshold, it means that blue fluorescence has appeared in the detection area and oil leakage has occurred, then the first oil leakage alarm is output to remind the monitoring personnel.
[0085] In step 203, an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated is acquired.
[0086] In an embodiment of the present invention, an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated can also be obtained. It should be noted here that the image of the detection area sensed by the acquired image sensor is synchronized with the time when the color sensor obtains the color information of the detection area in step 101.
[0087] In step 204, the increase in the blue light ratio relative to the first threshold is used as a screening threshold to determine the oil leakage area in the detection area image.
[0088] In the embodiment of the present invention, the increase in the blue light ratio relative to the first threshold value may be used as a screening threshold, and the blue pixels in the detection area image may be screened, thereby determining the oil leakage area in the detection area image.
[0089] Specifically, in one implementation, the detection area image is an RGB image; the specific implementation of the above step 204 may be:
[0090] Sort the pixels in the detection area image based on the B channel value;
[0091] Taking the increase of the blue light ratio relative to the first threshold as the screening threshold, the pixel points with a larger B channel value before the screening threshold are determined as blue pixels;
[0092] The area corresponding to the blue pixels is determined as the oil leakage area.
[0093] In practical applications, in the case of minor oil leaks in the early stages, the amount of leaked oil is small and the blue light emitted under ultraviolet irradiation is relatively weak. This is reflected in the fact that the colors of the pixels in the image of the detection area obtained by the image sensor are similar, making it difficult to accurately define the blue component of the corresponding oil leakage area.
[0094] In this embodiment, since the color sensor has accurately identified the color difference, that is, the increase in the proportion of blue light relative to the first threshold, this increase can be used as the screening threshold, and the blue pixels are screened out according to the B channel value of each pixel on the detection area image, and then the area corresponding to the blue pixels is identified as the oil leakage area on the image.
[0095] For example, if the first threshold is 34%, and the blue proportion obtained in step 101 is 40%, then the increase in the blue light proportion relative to the first threshold is 6%. It can be considered that the first 6% of the blue pixel values of each pixel in the detection area image are blue pixels, that is, the fluorescence presentation effect corresponding to the oil leakage at this time is to increase the blue light by 6% on the detection area image. Therefore, based on the 6% screening threshold, the blue pixels can be accurately defined from the detection area image where the blue pixels cannot be accurately identified (the first 6% of the pixels with higher B channel values are identified as blue pixels). Thus, the area corresponding to the blue pixels is further identified as the oil leakage area.
[0096] In step 205, the oil leak area is rendered as a striking area, and the rendered detection area image is output.
[0097] In this embodiment, the oil leakage area on the detection area image can be rendered to appear as a striking area, so as to facilitate verification by monitoring personnel after output.
[0098] Specifically, in one implementation, rendering the oil leakage area as a striking area includes: converting the color of the pixels in the oil leakage area into bright red.
[0099] As can be seen from the above, the present invention provides an oil leakage detection method for electric oil filling equipment, by setting a color sensor to sense the color information of the monitoring area when the ultraviolet laser is irradiated. Since the color sensor has a higher detection accuracy for color than the image sensor, it can effectively distinguish subtle color differences. When oil leakage occurs, the leaked oil emits a weak blue light under ultraviolet light, which is sensed by the color sensor, so that the proportion of blue light in the sensed color information increases. Therefore, when the proportion of blue light is greater than the first threshold, the first oil leakage alarm is output, and it is considered that oil leakage may have occurred. In addition, a screening threshold can be determined based on the proportion of blue light, and the pixels on the image of the detection area sensed by the image sensor are screened according to the corresponding screening threshold, and the blue pixel points on the image are accurately determined, and the corresponding area is identified as the oil leakage area and rendered as a striking area for output, so as to facilitate identification and verification by monitoring personnel. It can be seen that the present invention can timely detect early oil leakage of electric oil filling equipment in indoor dark scenes, and improve the accuracy of oil leakage detection and the timeliness of oil leakage alarm.
[0100] In another implementation, after outputting the rendered detection area image, the verification and confirmation conclusion of the monitoring personnel can also be received, and the first threshold value can be updated based on the verification and confirmation conclusion. For example, if the monitoring personnel, after seeing the output rendered detection area image, verify that it is a false alarm and no oil leak actually occurs, the system needs to increase the first threshold value so that the first oil leak alarm will not be generated under the current color information based on the updated first threshold value, thereby improving the alarm accuracy. If the monitoring personnel, after seeing the output rendered detection area image, verify that there is indeed an oil leak, the first threshold value will not be updated.
[0101] The present invention also provides an oil leakage detection implementation method based on wavelength conversion, by converting the wavelength of the color information detected by the color sensor, converting the blue light into a color with high contrast that can be distinguished by personnel, and then generating a detection area image based on the converted color information and outputting it to the monitoring screen. For example, the wavelength information corresponding to the blue light in the color information can be directly converted into the wavelength corresponding to the bright red light, and the detection area image can be output based on the color information after the wavelength conversion. The oil leakage area on the detection area image appears in a striking red color, so that the system can distinguish whether there is an oil leakage, and it is convenient for the monitoring personnel to verify.
[0102] Optionally, in one implementation, the oil leakage detection system further includes a second image sensor; Figure 3 FIG. 1 is another implementation flow chart of the oil leakage detection method for electric oil filling equipment provided by an embodiment of the present invention; Figure 3 As shown, the above detection method, in addition to step 201 to step 205, may further include:
[0103] Step 206, acquiring a dial image of the oil level indicator of the electric oil filling equipment sensed by the second image sensor;
[0104] Step 207, obtaining the periodic decrease of the digital oil level according to the dial image;
[0105] Step 208: If the periodic decrease of the digital oil level is greater than the second threshold, a second oil leakage alarm is output.
[0106] In this embodiment, the present invention also detects the dial of the oil level indicator of the electric oil filling equipment through the second image sensor, and identifies the dial pointer through the image to determine the periodic decrease of the digital oil level. For example, the current pointer position can be identified to obtain the current digital oil level, and the digital oil level of the previous cycle minus the current digital oil level can be subtracted to obtain the periodic decrease of the digital oil level.
[0107] In this embodiment, the cycle can be set to 24 hours, that is, one day, and the periodic decrease in the digital oil level is the amount of oil reduced on that day relative to the previous day, that is, the change in the digital oil level in one day.
[0108] In another implementation, the periodic decrease in the digital oil level may also be calculated based on the angle between the current position of the pointer and the zero line relative to the change in the angle in the previous period.
[0109] Specifically, the above step 207 can be implemented based on the following steps:
[0110] Get the pointer axis position in the dial image;
[0111] Get the pointer midline point in the direction pointed by the pointer in the dial image;
[0112] Calculate the angle between the line connecting the pointer axis point and the pointer midline point and the zero line;
[0113] Compare the current angle with the angle of the previous cycle to obtain the periodic decrease of the angle;
[0114] The periodic reduction amount of the digital oil level is obtained according to the periodic reduction amount of the angle, the initial oil level digital value, the initial angle and the first formula, wherein the first formula includes:
[0115] ΔV=V / θ*r
[0116] Among them, ΔV represents the periodic decrease of the digital oil level, r represents the periodic decrease of the angle, V represents the initial oil level digital quantity, which is the digital quantity of the oil level indicated by the pointer in the initial state after the electrical oil-filled equipment is filled with oil and put into use, and θ represents the initial angle, which is the initial angle between the line connecting the pointer axis position point and the pointer center point and the zero position line in the initial state after the electrical oil-filled equipment is filled with oil and put into use.
[0117] In practical applications, the angle θ from the 0 scale (zero line, the line connecting the pointer axis position to the 0 scale point) to the pointer position and the scale V indicated by the pointer can be recorded to obtain the angular volume w=V / θ of the dial and the digital oil level recording value V. Due to the limited size of the dial and the large scale value, there is a deviation in the reading of the human eye, especially for the case of small changes in the liquid level. For example, the pointer moves from position A between two scales to another position B between the two positions. By detecting the angle change r, the volume change ΔV=V / θ*r can be calculated. By real-time monitoring of the pointer angle change, the digital oil level gauge can realize real-time digital display of oil level changes.
[0118] In this embodiment, the oil level change rate (equivalent to the periodic reduction) can also be calculated by the digital oil volume display value and compared with the built-in oil level change rate alarm threshold (equivalent to the second threshold), and an alarm is triggered when the threshold is exceeded. Specifically, if it is assumed that there is an oil leak in a main transformer, and 1 drop (volume of about 1mL / drop) leaks per second, then the leakage volume of one day is y=1*60*60*24mL=86400mL=86.4L. Compared with the volume of daily test sampling and online monitoring device analysis sampling, the leakage volume is still considerable. Therefore, it can be defined that when the digital oil level monitoring value shows that the daily average change of the oil level is greater than 80L (that is, the second threshold can be 80L, in actual applications, the oil leakage rate is small in some cases, and in order to achieve early detection of oil leakage and improve the sensitivity and timeliness of the detection alarm, the second threshold can be set to be smaller, for example, the second threshold can be set to 1L), the oil leakage alarm is triggered to sound, and the alarm information is sent to the mobile phone or computer of the operation and maintenance personnel.
[0119] In an embodiment of the present invention, the second threshold value can also be updated in real time based on the actual operating conditions. For example, the periodic decrease in the digital oil level for several consecutive cycles when there is no oil leakage is collected, and the maximum value plus 1L is taken as the second threshold value. This is because normal loss of oil will also occur in actual scenarios. By collecting the periodic decrease in the digital oil level for several consecutive cycles when there is no oil leakage, the maximum value of the normal loss in these cycles can be known. The maximum value can be slightly increased (for example, by 1L) as the second threshold value. In actual application, the periodic decrease in the digital oil level for the first 10 cycles can be collected to calculate the second threshold value as the second threshold value for the current cycle. That is, the second threshold value can be dynamically updated, thereby improving the accuracy of oil leakage detection.
[0120] Optionally, in one implementation, as Figure 3 As shown, the above detection method may also include:
[0121] Step 209: If the blue light ratio is greater than the first threshold, and the periodic decrease of the digital oil level is greater than the second threshold, a third oil leakage alarm is output.
[0122] In this embodiment, when the first oil leakage alarm and the second oil leakage alarm exist at the same time, it means that the color sensor and the second image sensor have detected oil leakage, and the possibility of oil leakage can be basically confirmed, so the third oil leakage alarm is output, and the third oil leakage alarm can be an emergency alarm.
[0123] Optionally, in one implementation, the detection method may further include: if the proportion of blue light is greater than a first threshold, and the periodic decrease in the digital oil level is not greater than a second threshold, outputting a sensor fault alarm.
[0124] If the blue light ratio is not greater than the first threshold, and the periodic decrease in the digital oil level is greater than the second threshold, a sensor fault alarm is output.
[0125] In this embodiment, when the first oil leakage alarm occurs but the second oil leakage alarm does not occur, or when the first oil leakage alarm does not occur but the second oil leakage alarm occurs, it means that a sensor failure may occur, so a sensor failure alarm is issued.
[0126] The sensor here refers to a color sensor or a second image sensor that has a false alarm, or an oil leak that has not been accurately identified.
[0127] The sensor fault alarm here also includes the situation that the first threshold or the second threshold may be set unreasonable, and the sensor fault alarm can also be resolved by updating the first threshold or the second threshold.
[0128] Optionally, in one implementation, the above-mentioned detection method may further include: obtaining the length of time that the electric oil-filling equipment has been put into use; determining the irradiation interval of the ultraviolet laser according to the length of time that the electric oil-filling equipment has been put into use; wherein the length of time that the electric oil-filling equipment has been put into use is negatively correlated with the irradiation interval, that is, the longer the length of time that the electric oil-filling equipment has been put into use, the shorter the irradiation interval of the ultraviolet laser.
[0129] In this embodiment, since the probability of oil leakage increases with the time the electric oil filling device is put into use, the irradiation interval of the ultraviolet laser can be flexibly set based on the time the electric oil filling device is put into use, so as to achieve the purpose of both saving energy and improving the timeliness of alarm. For example, when the electric oil filling device is put into use for less than 1 year, the irradiation interval of the ultraviolet laser can be once every 8 hours, and when the electric oil filling device is put into use for more than 1 year, the irradiation interval of the ultraviolet laser can be once every 4 hours.
[0130] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.
[0131] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.
[0132] Figure 4 The structural schematic diagram of the oil leakage detection device of the electric oil filling equipment provided by the embodiment of the present invention is shown. For the convenience of explanation, only the part related to the embodiment of the present invention is shown, which is described in detail as follows:
[0133] like Figure 4As shown, the oil leakage detection device of the electric oil filling equipment is applied to the oil leakage detection system, and the oil leakage detection system includes an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal.
[0134] The oil leakage detection device 4 for electric oil-filling equipment includes: a first acquisition unit 41 , an alarm unit 42 , a second acquisition unit 43 , an area detection unit 44 and an image output unit 45 .
[0135] A first acquisition unit 41 is used to acquire color information of a detection area sensed by a color sensor when irradiated by an ultraviolet laser, and obtain a blue light ratio based on the color information;
[0136] An alarm unit 42, configured to output a first oil leakage alarm if the proportion of blue light is greater than a first threshold;
[0137] A second acquisition unit 43 is used to acquire an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated;
[0138] The area detection unit 44 is used to determine the oil leakage area in the detection area image by taking the increase of the blue light proportion relative to the first threshold as the screening threshold;
[0139] The image output unit 45 is used to render the oil leak area as a striking area and output the rendered detection area image.
[0140] In one implementation, the detection device 4 further includes:
[0141] A third acquisition unit is used to acquire a dial image of the oil level indicator of the electric oil filling equipment sensed by the second image sensor;
[0142] A digital conversion unit, used for obtaining a periodic decrease of a digital oil level according to a dial image;
[0143] The alarm unit 42 is further configured to output a second oil leakage alarm if the periodic decrease in the digital oil level is greater than a second threshold value.
[0144] In one implementation, the alarm unit 42 is further configured to output a third oil leakage alarm if the proportion of blue light is greater than a first threshold and the periodic decrease in the digital oil level is greater than a second threshold.
[0145] In one implementation, the alarm unit 42 is further configured to output a sensor fault alarm if the proportion of blue light is greater than a first threshold and the periodic decrease in the digital oil level is not greater than a second threshold.
[0146] In one implementation, the alarm unit 42 is further configured to output a sensor fault alarm if the blue light ratio is not greater than a first threshold and the periodic decrease in the digital oil level is greater than a second threshold.
[0147] In one implementation, the detection area image is an RGB image, and the above-mentioned area detection unit 44 is specifically used to sort the pixels in the detection area image based on the B channel value; use the increase in the blue light proportion relative to the first threshold as the screening threshold, and determine the pixel points with a larger B channel value before the front screening threshold as blue pixel points; determine the area corresponding to the blue pixel point as the oil leakage area.
[0148] In one implementation, the image output unit 45 is specifically configured to convert the color of the pixels in the oil leakage area into bright red.
[0149] In one implementation, the digital conversion unit is specifically used to: obtain the pointer axis position in the dial image;
[0150] Get the pointer midline point in the direction pointed by the pointer in the dial image;
[0151] Calculate the angle between the line connecting the pointer axis point and the pointer midline point and the zero line;
[0152] Compare the current angle with the angle of the previous cycle to obtain the periodic decrease of the angle;
[0153] The periodic reduction amount of the digital oil level is obtained according to the periodic reduction amount of the angle, the initial oil level digital value, the initial angle and the first formula, wherein the first formula includes:
[0154] ΔV=V / θ*r
[0155] Among them, ΔV represents the periodic decrease of the digital oil level, r represents the periodic decrease of the angle, V represents the initial oil level digital quantity, which is the digital quantity of the oil level indicated by the pointer in the initial state after the electrical oil-filled equipment is filled with oil and put into use, and θ represents the initial angle, which is the initial angle between the line connecting the pointer axis position point and the pointer center point and the zero position line in the initial state after the electrical oil-filled equipment is filled with oil and put into use.
[0156] In one implementation, the detection device 4 further includes:
[0157] A fourth acquisition unit, used for acquiring the length of time the electric oil filling equipment is put into use;
[0158] A cycle determination unit, used to determine the irradiation interval of the ultraviolet laser according to the length of time the electric oil-filling equipment is put into use;
[0159] Among them, the length of time that the electric oil-filling equipment is put into use is negatively correlated with the irradiation interval.
[0160] As can be seen from the above, the present invention provides an oil leakage detection device for electric oil filling equipment, which senses the color information of the monitoring area when the ultraviolet laser is irradiated by setting a color sensor. Since the color detection accuracy of the color sensor is higher than that of the image sensor, it can effectively distinguish subtle color differences. When oil leakage occurs, the leaked oil emits a weak blue light under ultraviolet light, which is sensed by the color sensor, so that the proportion of blue light in the sensed color information increases. Therefore, when the proportion of blue light is greater than the first threshold, the first oil leakage alarm is output, and it is considered that oil leakage may have occurred. In addition, a screening threshold can be determined based on the proportion of blue light, and the pixels on the image of the detection area sensed by the image sensor are screened according to the corresponding screening threshold, and the blue pixel points on the image are accurately determined, and the corresponding area is identified as the oil leakage area and rendered as a striking area for output, so as to facilitate monitoring personnel to identify and verify. It can be seen that the present invention can timely detect the early oil leakage of the electric oil filling equipment in the dark scene indoors, improve the accuracy of oil leakage detection and the timeliness of oil leakage alarm.
[0161] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0162] Those of ordinary skill in the art will appreciate that the templates, units, and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.
[0163] If the module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned oil leakage detection method embodiments of each electric oil filling device. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry the computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory, random access memory, electrical carrier signal, telecommunication signal and software distribution medium.
[0164] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should all be included in the protection scope of the present invention.
Claims
1. A method for detecting oil leakage of electric oil-filled equipment, characterized in that: Applied to an oil leak detection system, the oil leak detection system includes an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal, and the detection method includes: Acquire color information of the detection area sensed by the color sensor when the ultraviolet laser is irradiated, and obtain the proportion of blue light based on the color information; If the blue light ratio is greater than the first threshold, a first oil leakage alarm is output; Acquire an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated; Taking the increase of the blue light ratio relative to the first threshold as the screening threshold, determining the oil leakage area in the detection area image; Render the oil spill area as a striking area and output the rendered detection area image.
2. The oil leakage detection method for electric oil filling equipment according to claim 1, characterized in that: The oil leakage detection system further includes a second image sensor; and the detection method further includes: Acquire a dial image of the oil level indicator of the electric oil filling equipment sensed by the second image sensor; Obtain the periodic decrease of the digital oil level according to the dial image; If the periodic decrease in the digital oil level is greater than a second threshold, a second oil leakage alarm is output.
3. The oil leakage detection method of the electric oil filling equipment according to claim 2 is characterized in that: The detection method further comprises: If the blue light ratio is greater than the first threshold, and the periodic decrease of the digital oil level is greater than the second threshold, a third oil leakage alarm is output.
4. The oil leakage detection method for electric oil filling equipment according to claim 2, characterized in that: The detection method further comprises: If the proportion of blue light is greater than the first threshold, and the periodic decrease of the digital oil level is not greater than the second threshold, a sensor fault alarm is output.
5. The oil leakage detection method for electric oil filling equipment according to claim 2, characterized in that: The detection method further comprises: If the blue light ratio is not greater than the first threshold, and the periodic decrease in the digital oil level is greater than the second threshold, a sensor fault alarm is output.
6. The oil leakage detection method for electric oil filling equipment according to any one of claims 1 to 5, characterized in that: The detection area image is an RGB image; The method of determining the oil leakage area in the detection area image by taking the increase of the blue light proportion relative to the first threshold as the screening threshold comprises: Sort the pixels in the detection area image based on the B channel value; Taking the increase of the blue light ratio relative to the first threshold as the screening threshold, the pixel points with a larger B channel value before the screening threshold are determined as blue pixels; The area corresponding to the blue pixels is determined as the oil leakage area.
7. The oil leakage detection method for electric oil filling equipment according to any one of claims 1 to 5, characterized in that: Rendering the oil spill area as a striking area comprises: Convert the pixel color of the oil spill area to bright red.
8. The oil leakage detection method for electric oil filling equipment according to any one of claims 2 to 5, characterized in that: The step of obtaining the period reduction of the digital oil level according to the dial image comprises: Get the pointer axis position in the dial image; Get the pointer midline point in the direction pointed by the pointer in the dial image; Calculate the angle between the line connecting the pointer axis point and the pointer midline point and the zero line; Compare the current angle with the angle of the previous cycle to obtain the periodic decrease of the angle; The periodic reduction amount of the digital oil level is obtained according to the periodic reduction amount of the angle, the initial oil level digital value, the initial angle and the first formula, wherein the first formula includes: ΔV=V / θ*r Among them, ΔV represents the periodic decrease of the digital oil level, r represents the periodic decrease of the angle, V represents the initial oil level digital quantity, which is the digital quantity of the oil level indicated by the pointer in the initial state after the electrical oil-filled equipment is filled with oil and put into use, and θ represents the initial angle, which is the initial angle between the line connecting the pointer axis position point and the pointer center point and the zero position line in the initial state after the electrical oil-filled equipment is filled with oil and put into use.
9. The oil leakage detection method for electric oil filling equipment according to any one of claims 1 to 5, characterized in that: The detection method further comprises: The length of time the obtained electric oil-filled equipment has been in use; Determine the UV laser irradiation interval according to the length of time the electric oil-filling equipment has been put into use; Among them, the length of time that the electric oil-filling equipment is put into use is negatively correlated with the irradiation interval.
10. An oil leakage detection device for electric oil filling equipment, characterized in that: Applied to an oil leakage detection system, the oil leakage detection system comprises an ultraviolet laser, a color sensor, a first image sensor and a monitoring terminal, and the detection device comprises: A first acquisition unit is used to acquire color information of a detection area sensed by a color sensor when the ultraviolet laser is irradiated, and obtain a blue light proportion based on the color information; an alarm unit, configured to output a first oil leakage alarm if the proportion of blue light is greater than a first threshold; A second acquisition unit, used to acquire an image of the detection area sensed by the first image sensor when the ultraviolet laser is irradiated; An area detection unit, used to determine the oil leakage area in the detection area image by taking the increase of the blue light proportion relative to the first threshold as a screening threshold; The image output unit is used to render the oil leak area as a striking area and output the rendered detection area image.